We are growing fast - and we invite you to grow with us. In Innowise, you can not only develop as an expert in your field, solve complex problems and influence the result, but also see how the finished project affects the world around. We are a close-knit team of professionals who have already implemented 1300+ cases for clients from the USA, Denmark, Germany, etc. We need someone, who will strengthen our team and become part of the community!

You need to have:

Deep expertise in Lobsterdata, Lobsterpro, and the Lobster Data Platform architecture
Proven experience in building integration scenarios, data transformations, EDI flows and API integrations
Proficiency in Lobster no-code tools, including mapping, connectors and workflow design
Solid understanding of ETL/ELT principles, integration patterns, message queues and enterprise service bus (ESB)
Experience working with Storyblok and various CMS platforms
Strong familiarity with PIM and DAM systems, including Scaleflex solutions
Pкoficiency in English (at least B1+ level)

Nice to Have:

Strong foundation in Data Engineering with experience in building scalable data pipelines and managing large-scale data processing
Practical experience with Elasticsearch, including index management, query optimization or integration with data workflows

What to do:

Design, develop, and maintain complex integration solutions using the Lobster Data Platform (Lobsterdata and Lobsterpro)
Build and optimize end-to-end EDI flows, API integrations, and data transformation scenarios to ensure seamless data exchange
Configure and manage no-code workflows, including complex data mapping and connector setup, to streamline business processes
Oversee the integration and synchronization of CMS (Storyblok), PIM, and DAM systems, ensuring data consistency across the ecosystem using Scaleflex and other tools
Implement and monitor ETL/ELT processes, managing data queues and bus architectures to ensure high availability and performance
Act as a technical point of contact for clients, leading discussions, gathering requirements, and presenting solutions in fluent English
Leverage Elasticsearch and data engineering best practices to optimize search capabilities and process large-scale datasets